The definition and the big idea - how the real, continuous ocean is turned into equations a computer can solve.
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Welcome to the first lecture of the week. Fernand Assene begins with the most basic question of all: what exactly is an ocean model?
An ocean model is a mathematical and numerical simulation of ocean properties and circulation, solved on a discrete grid in space and time. The idea is to take the real, continuous ocean – all its currents, temperature gradients, and living activity – and represent it as a set of equations that a computer can solve at a finite number of points.
In this lecture you’ll explore:
What a model represents – not just physics (temperature, salinity, sea level, waves, currents), but also chemistry, biology, and the ocean’s interactions with the atmosphere and the rest of the Earth system
Its mathematical foundation – the primitive equations, built on three conservation laws: momentum (how water moves in response to forces), mass (water is neither created nor destroyed), and heat and salt
What a model needs to simulate the ocean, and the variables it solves for
Why models are essential in the first place
You’ll see the equations on screen, but don’t worry about the mathematics – this week is about understanding models, not deriving or building them. The goal is to grasp the idea: a model turns the laws of ocean physics into something a computer can calculate and predict.